SANS Institute Threat Hunting Survey Key Takeaways

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The SANS Institute recently released its 2025 Threat Hunting Survey, highlighting critical trends and challenges in cybersecurity threat detection and response. Below are the key findings:

  • Decline in Outsourcing: Organizations are increasingly building internal threat-hunting capabilities instead of relying on third-party services.
  • Cloud Visibility Issues: Many teams struggle with visibility across cloud environments and hunting across diverse log sources.
  • Data Normalization Challenges: Security teams face difficulties in normalizing data from disparate security tools.
  • Automation & AI Focus: There is a growing emphasis on AI-driven threat hunting and improving automation.
  • Business Email Compromise (BEC): BEC remains the most discovered threat during threat-hunting exercises.
  • Living Off the Land (LOTL): Attackers continue to heavily rely on LOTL techniques, leveraging legitimate system tools for malicious activities.

You Should Know: Threat Hunting Commands & Techniques

To enhance your threat-hunting capabilities, here are essential commands, tools, and techniques to detect malicious activities:

1. Detecting Living Off the Land (LOTL) Attacks

Attackers abuse legitimate system tools like PowerShell, WMI, and PsExec. Detect suspicious usage with:

Windows (PowerShell & Event Logs)

 Check for unusual PowerShell execution 
Get-WinEvent -FilterHashtable @{ 
LogName='Microsoft-Windows-PowerShell/Operational'; 
ID=4104;  Script block logging 
} | Where-Object { $_.Message -match "malicious_pattern" }

Detect WMI abuse 
Get-WinEvent -FilterHashtable @{ 
LogName='Microsoft-Windows-WMI-Activity/Operational'; 
ID=5861;  Suspicious WMI persistence 
} 

Linux (Bash History & Process Monitoring)

 Check for unusual commands in bash history 
cat ~/.bash_history | grep -E "(curl.-o|wget.--no-check|chmod.777)"

Monitor for suspicious child processes 
ps aux --forest | grep -i -E "(sh -c|python -c|perl -e)" 

2. Hunting for BEC (Business Email Compromise)

  • Office 365 Audit Logs:
    Search for suspicious email forwarding rules 
    Get-Mailbox | Get-InboxRule | Where { $<em>.ForwardTo -or $</em>.RedirectTo } 
    

  • Detecting Anomalous Logins:

    Check Azure AD sign-ins (requires Azure CLI) 
    az monitor activity-log list --query "[?operationName.value=='Sign-in activity']" 
    
    1. Automating Threat Hunting with AI & SIEM
  • Elasticsearch + Sigma Rules:
    Use Sigma to detect suspicious processes 
    sigma convert -t elastalert -s ./rules/process_creation_suspicious.yml 
    

  • YARA for Malware Hunting:

    Scan memory for malicious patterns 
    yara -r /path/to/malware_rules.yar /proc/[0-9]/exe 
    

What Undercode Say

The 2025 Threat Hunting Survey confirms that adversaries are evolving, forcing defenders to improve automation, AI-driven detection, and log normalization. Key takeaways:

  • Internal threat-hunting teams are becoming the norm.
  • Cloud and hybrid environments remain challenging to monitor.
  • LOTL and BEC are still dominant attack vectors.

To stay ahead, security teams must:

✅ Leverage AI-driven analytics for anomaly detection.

✅ Normalize logs across SIEM and EDR solutions.

✅ Monitor PowerShell, WMI, and Linux process trees for LOTL attacks.
✅ Automate threat-hunting workflows with Sigma, YARA, and Elasticsearch.

Expected Output:

A structured threat-hunting framework combining SIEM alerts, endpoint logs, and AI-driven analysis will be crucial in 2025. Organizations must invest in internal expertise, automation, and cloud visibility to combat evolving threats.

Relevant URLs:

References:

Reported By: Mthomasson Sans – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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